import pydicom
from PIL import Image
import numpy as np
import os
import sys
 

''' first: pip install pydicom matplotlib scipy '''
def dicom_file2jpg(infile, outfile):
    # 读取DICOM文件
    dicom_file = pydicom.read_file(infile)

    info = {}
    # 通过字典关键字来获取图像的数据元信息（当然也可以根据TAG号）
    # 这里获取几种常用信息
    info["PatientID"] = dicom_file.PatientID               # 患者ID
    info["PatientName"] = dicom_file.PatientName           # 患者姓名
    info["PatientAge"] = dicom_file.PatientAge             # 患者年龄
    info['PatientSex'] = dicom_file.PatientSex             # 患者性别
    info['StudyID'] = dicom_file.StudyID                   # 检查ID
    info['StudyDate'] = dicom_file.StudyDate               # 检查日期
    info['StudyTime'] = dicom_file.StudyTime               # 检查时间
    info['InstitutionName'] = dicom_file.InstitutionName   # 机构名称
    info['Manufacturer'] = dicom_file.Manufacturer         # 设备制造商
    info['StudyDescription']=dicom_file.StudyDescription   # 检查项目描述
    print(info)

    
    # 将DICOM数据转换为numpy数组
    image_array = dicom_file.pixel_array

    # 转换为8位图像
    image_array = image_array - np.min(image_array)
    image_array = image_array / np.max(image_array)
    image_8bit = (image_array * 255).astype(np.uint8)

    # 转换为PIL图像
    image = Image.fromarray(image_8bit)

    # 保存为JPEG
    image.save(outfile)


def main(name):
    fname = name[:-4]
    outname = fname + '.jpg'
    dicom_file2jpg(name, outname)

if __name__ == '__main__':
    if len(sys.argv) < 2:
        print('usage: python dicom_file2jpg.py dicom_filefile.dcm')
        quit()
    main(sys.argv[1])
